PrivChain-AI利用区块链和联合学习进行私人财务报告和访问控制
1Information Systems Department, College of Computing and Information Technology, Shaqra University, Shaqra, 51115, Saudi Arabia. Salaklabi@su.edu.sa.
Scientific reports
|December 18, 2025
概括
金融机构现在可以使用PrivChain-AI安全地协作,这是一个结合区块链和联合学习的新系统. 这提高了金融领域机器学习应用的数据隐私和监管合规性.
科学领域:
- 计算机科学 计算机科学
- 金融技术 金融技术
- 网络安全 网络安全
背景情况:
- 金融机构在数据隐私和机器学习的监管合规性方面面临前所未有的挑战.
- 现有的方法难以平衡协作模式培训与对敏感数据保护的需求.
研究的目的:
- 引入PrivChain-AI,一种基于区块链的新型联合学习系统,用于安全的财务报告和访问控制.
- 实现跨机构的合作机器学习模型培训,同时防止数据泄露.
主要方法:
- 差异隐私,同型加密和基于智能合约的治理的整合.
- 具有许可的共识协议和零知识证明验证的层次设计.
- 实施不变的审计轨道,以确保监管合规.
主要成果:
- 在具有差异隐私 (ε = 1.0) 的欺诈识别中获得了94.7%的准确性.
- 与现有方法相比,减少了40%的通讯开销.
- 提高了78%的隐私保护和62%的访问控制细节性.
结论:
- PrivChain-AI为安全,协作金融提供了一个新的分析模型.
- 该系统确保监管合规,并符合高标准的数据安全标准.
- 显示了金融机器学习的隐私,安全和效率的显著改进.
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